Evaluating CUDA Portability with HIPCL and DPCT
TECH TALK
Evaluating CUDA Portability with HIPCL and DPCT
HIPCL is expanding the scope of the CUDA portability route from an AMD platform to an OpenCL platform. In the meantime, the Intel DPC++ Compatibility Tool (DPCT) is migrating a CUDA program to a data parallel C++ (DPC++) program. Towards the goal of portability enhancement, we evaluate the performance of the CUDA applications from Rodinia, SHOC, and proxy applications ported using HIPCL and DPCT on Intel GPUs. After profiling the ported programs, we aim to understand their performance gaps, and optimize codes converted by DPCT to improve their performance. The open-source repository for the CUDA, HIP, and DPCT programs will be useful for the development of a translator.
Speaker(s)
Zheming Jin
I finished my Ph.D. in Computer Science and Engineering at University of South Carolina, where my research focused on program synthesis and applications development targeting FPGAs. As a postdoctoral appointee at Argonne, I evaluated high-level synthesis and oneAPI on FPGAs and GPUs, respectively. My research focus is heterogeneous computing.
